Parameter Estimation in Rainfall-Watertable Relationship Using Kalman Filter
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Date
2013-01
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Publisher
Global Institute for Research and Education
Abstract
Employing a proper groundwater recharge estimation technique is extremely important for efficient water resource
development in a groundwater basin. This paper describes the estimation of groundwater recharge in the Besease basin
using the linear Kalman filter mathematical model. The physical model estimated the watertable levels and subsequently
derived the infiltration parameters from rainfall inputs and groundwater levels data. The Kalman Filter method used as a
recharge estimate resulted in a fit between the simulated hydraulic head and observed sub-surface water level fluctuation.
The results show that the infiltration parameter varied considerably over the period of time when it was assumed as time
dependent with the recharge values ranging between 0.0-1.27 % for P4 and 0.0-16.5 % for P14 of the incident rainfall. A
very high infiltration factor α was obtained when considerable rain fell during June 2009, October 2009 and in June and
July, 2010. However, during the periods from December 2009 to April 2010, the infiltration factor was zero which
suggested that infiltrated water could not reach the water table but was retained in the unsaturated zone to replenish
moisture deficit. Therefore, efficient application of irrigation water, knowledge about the moisture regime and the
cropping pattern in the basin is fundamental for ensuring optimal moisture content and watertable level management.
Description
This article is published by Global Institute for Research and Education2013 and is also available at Global https://www.researchgate.net/publication/278016283
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Citation
G.J. E.D.T., Vol. 2(1) 2013:86-95 ISSN 2319 – 7293 86